Signal and noise in global warming detection. Final progress report, July 15, 1990--July 14, 1994
This research considers the mean squared error (MSE) incurred in estimating an idealized earth`s global average temperature with a finite network of point gauges distributed optimally over the globe. The construction of a linear smoothing filter is considered for estimating the forced part of a change in a climatological field such as the surface temperature. The filter is optimal in the sense that is suppresses the natural variability of noise relative to the forced part or signal to the maximum extent possible.
- Research Organization:
- Texas A and M Research Foundation, Meteorology Dept., College Station, TX (United States)
- Sponsoring Organization:
- USDOE Office of Energy Research, Washington, DC (United States)
- DOE Contract Number:
- FG05-90ER61018
- OSTI ID:
- 290984
- Report Number(s):
- DOE/ER/61018--T2; ON: DE99000967
- Country of Publication:
- United States
- Language:
- English
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